TOP 35 Machine Learning Projects GitHub In October, 2023

Machine Learning Projects in Python GitHub

What is GitHub?

GitHub is a code hosting platform for version control and collaboration. It gives you and others a chance to cooperate on projects from anyplace.

GitHub shows basics like repositories, branches, commits, and Pull Requests.

To finish this instructional exercise, you require a GitHub.com account and Web access. You don’t have to know how to code, utilize the command line, or install Git (the version control software GitHub is based on).

As individuals move from the physical to computerized domain, we can gain from the trail of information they’ve deserted.

Jump into Top and Best practical machine learning projects in python by individuals on GitHub or add your own resources to these lists.

1.) Aerosolve

A machine learning package built for humans.

2.) Scikit-learn

Scikit-learn leverages the Python scientific computing stack, built on NumPy, SciPy, and matplotlib. As general purpose a toolkit as there could be, Scikit-learn contains classification, regression, and clustering algorithms, as well as data-preparation and model-evaluation tools.

3.) tensorflow / tensorflow

 Computation using data flow graphs for scalable machine learning.

4.) Theano / Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic.

5.) PredictionIO

PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.

6.) shogun-toolbox / shogun

  The Shogun Machine Learning Toolbox (Source Code)

7.) Vowpal Wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

8.) davisking / dlib

 A toolkit for making real world machine learning and data analysis applications in C++.

9.) apache / incubator-predictionio

 PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.

10.) Pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

10.) gokceneraslan / awesome-deepbio

 A curated list of awesome deep learning applications in the field of computational biology

11.) buriburisuri / ByteNet

 A tensorflow implementation of French-to-English machine translation using DeepMind’s ByteNet .

12.) GoLearn

Machine Learning for Go.

13.) josephmisiti / awesome-machine-learning

 A curated list of awesome Machine Learning frameworks, libraries and software.

14.) ujjwalkarn / Machine-Learning-Tutorials

 Machine learning and deep learning tutorials, articles and other resources.

15.) ChristosChristofidis / awesome-deep-learning

 A curated list of awesome Deep Learning tutorials, projects and communities.

16.) fastai / courses

        fast.ai Courses

17.) Dive Into Machine Learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn.

18.) jtoy / awesome-tensorflow

TensorFlow – A curated list of dedicated resources http://tensorflow.org

19.) nlintz / TensorFlow-Tutorials

 Simple tutorials using Google’s TensorFlow Framework.

20.) pkmital / tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow.

21.) GSA / data

Assorted data from the General Services Administration.

22.) GoogleTrends / data

 An index of all open-source data

23.) NuPIC (Numenta Platform for Intelligent Computing)

A brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.

24.) nationalparkservice / data

An unofficial repository of National Park Service data.

25.) fivethirtyeight / data

Data and code behind the stories and interactives at FiveThirtyEight.

26.) beamandrew / medical-data

Interesting links & research papers related to medical.

27.) src-d / awesome-machine-learning-on-source-code

Interesting links & research papers related to Machine Learning applied to source code

28.) igrigorik / decisiontree

ID3-based implementation of the ML Decision Tree algorithm

29.) keon / awesome-nlp

A curated list of resources dedicated to Natural Language Processing (NLP)

30.) openai / gym

A toolkit for developing and comparing reinforcement learning algorithms.

31.) aikorea / awesome-rl

 Reinforcement learning resources curated

32.) Code for Machine Learning for Hackers

Code accompanying the book “Machine Learning for Hackers.”

33.) umutisik / Eigentechno

Principal Component Analysis on music loops.

34.) jpmckinney / tf-idf-similarity

Ruby gem to calculate the similarity between texts using tf*idf

35.) scikit-learn-contrib / lightning

Large-scale linear classification, regression and ranking in Python